ArticleHealth services research2021
Duration of medical home participation and quality of care for patients with chronic conditions.
Article in Health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of relational continuity of primary care in aged care: a systematic review.BMC geriatrics · 2022Pooled it
- Predictors of Colorectal Cancer Screening Rates in Federally Qualified Health Centers: Explicating Organizational Level Factors.Health services research · 2026Article
- Removing the blindfold: The centrality of care in caring for patients with multiple chronic conditions.Health services research · 2021Article
- Duration of medical home participation and quality of care for patients with chronic conditions.Health services research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectiveTo examine whether the length of participation in a patient-centered medical home (PCMH), an evidence-based practice, leads to higher quality care for Medicaid enrollees with multiple co-morbid chronic conditions and major depressive disorder (MDD). DATA SOURCES: This analysis uses a unique data source that links North Carolina Medicaid claims and enrollment data with other administrative data including electronic records of state-funded mental health services, a state psychiatric hospital utilization database, and electronic records from a five-county behavioral health carve-out program. STUDY
designThis retrospective cohort study uses generalized estimating equations (GEEs) on person-year-level observations to examine the association between the duration of PCMH participation and measures of guideline-concordant care, including the receipt of minimally adequate care for MDD, defined as 6 months of antidepressant use or eight psychotherapy visits each year. DATA COLLECTION/EXTRACTION
methodsAdults with two or more chronic conditions reflected in administrative data, including MDD. PRINCIPAL
findingsWe found a 1.7 percentage point increase in the likelihood of receiving guideline-concordant care at 4 months of PCMH participation, as compared to newly enrolled individuals with a single month of participation (p < 0.05). This effect increased with each additional month of PCMH participation; 12 months of participation was associated with a 19.1 percentage point increase in the likelihood of receiving guideline-concordant care over a single month of participation (p < 0.01).
conclusionsThe PCMH model is associated with higher quality of care for patients with multiple chronic conditions and MDD over time, and these benefits increase the longer a patient is enrolled. Providers and policy makers should consider the positive effect of increased contact with PCMHs when designing and evaluating initiatives to improve care for this population.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.